While without a doubt the internet has made it easier to search for jobs-from such general job-seeking sites as Monster.com to more specialized ones such as JournalismJobs.com-it has also, in some cases, made it more difficult for someone to get hired. According to a survey released in April by CareerBuilder, LLC, nearly 2 in 5 companies use social networking sites to research job candidates. And a March survey from Eurocom Worldwide shows that 1 in 5 technology industry executives admit to rejecting an applicant based on his or her social media profile.

financial fraud

Account takeover. Synthetic identities. The security risks that financial services and online merchants face are endless, and the fraud landscape is changing dramatically. You not only need to be aware of how it’s evolving, but how to address these threats, protect your customers and your brand. iovation has analyzed data from our consortium made up of six billion devices seen, 55 million fraud reports, and thousands of fraud analysts to determine the most significant fraud trends and what you can do to combat them.

The response to possible bank card fraud is one of the most important factors affecting the relationship that customers have with their bank. For customer-centric financial institutions who issue millions of bank cards, any instance of possible fraud is both a business risk to be managed and an opportunity to strengthen customer relationships.

Financial institutions (FIs) must support the channels and services that consumers demand in order to remain competitive with each other and with disruptive competitors. To that end, supporting account opening, delivering new transactional features, and facilitating payments through digital channels have become table stakes. Unfortunately, the speed and convenience that these capabilities afford is a benefit to consumers and fraudsters alike. To successfully prevent fraud while retaining the benefits of offering digital financial services, FIs must understand how fraudsters are exploiting these capabilities and fight fraud with customer experience in mind.

"Ponemon Institute surveyed 538 individuals in IT security who are familiar with credential stuffing and are responsible for the security of their companies’ Internet properties. According to respondents, the challenges in identifying who is accessing their websites using stolen credentials complicates the ability to prevent and remediate these attacks.
The survey identified key stats about credential stuffing, including the costs organizations incur to prevent damage, and the financial consequences when attackers succeed. These costs are broken out into downtime, lost customers, remediation and fraud-related expenses. The survey also highlights the need for focused accountability and appropriate budget to protect businesses."

"Ponemon Institute surveyed 538 individuals in IT security who are familiar with credential stuffing and are responsible for the security of their companies’ Internet properties. According to respondents, the challenges in identifying who is accessing their websites using stolen credentials complicates the ability to prevent and remediate these attacks.
The survey identified key stats about credential stuffing, including the costs organizations incur to prevent damage, and the financial consequences when attackers succeed. These costs are broken out into downtime, lost customers, remediation and fraud-related expenses. The survey also highlights the need for focused accountability and appropriate budget to protect businesses."

"Ponemon Institute surveyed 538 individuals in IT security who are familiar with credential stuffing and are responsible for the security of their companies’ Internet properties. According to respondents, the challenges in identifying who is accessing their websites using stolen credentials complicates the ability to prevent and remediate these attacks.
The survey identified key stats about credential stuffing, including the costs organizations incur to prevent damage, and the financial consequences when attackers succeed. These costs are broken out into downtime, lost customers, remediation and fraud-related expenses. The survey also highlights the need for focused accountability and appropriate budget to protect businesses."

"Ponemon Institute surveyed 538 individuals in IT security who are familiar with credential stuffing and are responsible for the security of their companies’ Internet properties. According to respondents, the challenges in identifying who is accessing their websites using stolen credentials complicates the ability to prevent and remediate these attacks.
The survey identified key stats about credential stuffing, including the costs organizations incur to prevent damage, and the financial consequences when attackers succeed. These costs are broken out into downtime, lost customers, remediation and fraud-related expenses. The survey also highlights the need for focused accountability and appropriate budget to protect businesses."

"Ponemon Institute surveyed 538 individuals in IT security who are familiar with credential stuffing and are responsible for the security of their companies’ Internet properties. According to respondents, the challenges in identifying who is accessing their websites using stolen credentials complicates the ability to prevent and remediate these attacks.
The survey identified key stats about credential stuffing, including the costs organizations incur to prevent damage, and the financial consequences when attackers succeed. These costs are broken out into downtime, lost customers, remediation and fraud-related expenses. The survey also highlights the need for focused accountability and appropriate budget to protect businesses."

Websites provide online businesses with an unprecedented level of contact with customers and end users. However, they also place business information where it can be easily accessed by third parties – often using automated tools known as “bots”. For many organizations, bots represent up to 50% or more of their overall website traffic, from good bots engaged in essential business tasks to bad bots conducting fraudulent activities. Regardless of business impact, bot traffic can reduce website performance for legitimate users and increase IT costs. Organizations need a flexible framework to better manage their interaction with different categories of bots and the impact that bots have on their business and IT infrastructure.

Digital innovation has changed everything: the money is everywhere,
so every business is a potential target for fraud.
Banks and financial institutions used to be the primary targets of fraud. Why banks? To quote the
notorious American bank robber Willie Sutton, “because that’s where the money is.” While banks
remain firmly in the crosshairs of fraudsters, the avalanche of digital business innovation has
changed everything.
Since the money is everywhere, every business is a potential target for fraud. The same technology
that helps us find airfare deals, sweet concert seats, or the best prices on the hottest Jordan shoes–
that is, bots–can now be used by criminals.
Fraudsters employ automated, faceless bots that scour business apps looking for any opportunity to
profit. And since fraud targets business-process weaknesses and not just software vulnerabilities, you
may not even know when it is happening.

The impact of chargeback rates is abundantly clear and easily measurable, but the financial impact of false declines - rejecting perfectly good customers over fear of fraud - is largely underestimated by eCommerce merchants. In reality, these mistakes, which are all too common but difficult to track, end up costing merchants significantly more than chargebacks, and are more damaging to the business’ bottom line.
This guide is designed to help businesses approve more good eCommerce orders, and to put in place better tracking for ongoing improvement in order decision accuracy

Financial institutions seeking to attract new customers and revenue channels are expanding into digital services, real-time payments and global transactions. However, with every new service, criminals are developing innovative ways to infiltrate financial systems, and older technologies that mitigate fraud no longer work as effectively.
So how can financial institutions respond to this growing threat?
Fortunately, more advanced technologies hold great potential for real-time financial crime mitigation. Learn about five current and emerging technologies that could impact money laundering and fraud mitigation, including artificial intelligence/machine learning, blockchain, biometrics, predictive analytics (hybrid model) and APIs.
Read the latest Fiserv white paper: Five Tech Trends That Can Transform How Financial Institutions Detect and Prevent Financial Crime.

For the past decade, financial institutions have created sophisticated digital platforms for consumers to access, save, share and interact with their financial accounts. As sophisticated as these digital platforms have become, cyber criminals continue to pose an ever-present risk for everyone – from individual consumers to large corporations
In his recent article, 2018 Outlook: Customer Experience and Security Strike a Balance, Andrew Davies, vice president of global market strategy for Fiserv’s Financial Crime Risk Management division, explains how and why security will become a key differentiator for financial institutions as they respond to a changing landscape, which includes:
•Global payment initiatives
•Open Banking standards
•Artificial intelligence and machine learning
•Consumer demand for real-time fraud prevention and detection

The ever-changing environment has offered fraudsters some tactical advantages to probe for holes in the defenses of financial services companies. Conventional approaches to fraud detection and remediation remain effective to a point, but conventional tools cannot effectively and economically process what is known as big data.

Remember Y2K – the IT “problem” that should have brought businesses to a screeching half? Despite the hype, the preparation led to widely documented business benefits and uncovered new opportunities that transformed organizations worldwide.
Similarly in today’s highly regulated Financial Services industry, enabling GRC by integrating data from silos can be the driver for future business use cases like machine learning and anti-fraud detection services. GRC can be your catalyst for new opportunities.
Listen in as our panel of financial services experts discuss the keys to reinventing your data strategy.
We’ll cover:
How to align your GRC strategy with a business transformation agenda
How to ensure your organization’s approach to data management isn’t just a one-off solution, but a comprehensive one adaptable to changing regulations
How to navigate the increasing regulatory demands for granular data security
How to turn your compliance spend into new opportunities to earn revenue

New channels and cashless payment ecosystems have created greater risk for financial institutions; the increase in fraudulent activities has compounded the need for more rapid detection and counter measures.
Please view this webcast and learn:
- The key challenges financial institutions face in rapidly detecting, responding and countering new fraud schemes
- The value a cognitive computing approach offers an institution; enabling them to make swifter, more accurate decisions while providing more control and transparency

This whitepaper talks about how organized criminals and lone fraudsters are continuously adapting to the ever-changing world we live in. Through IBM solutions for insurance fraud prevention, both enterprise and industry-wide financial institutions can prevent future fraud.

For the past decade, financial institutions have created sophisticated digital platforms for consumers to access, save, share and interact with their financial accounts. As sophisticated as these digital platforms have become, cyber criminals continue to pose an ever-present risk for everyone – from individual consumers to large corporations.
In his recent article, 2018 Outlook: Customer Experience and Security Strike a Balance,
Andrew Davies, vice president of global market strategy for Fiserv’s Financial Crime Risk Management division, explains how and why security will become a key differentiator for financial institutions as they respond to a changing landscape, which includes:
• Global payment initiatives
• Open Banking standards
• Artificial intelligence and machine learning
• Consumer demand for real-time fraud prevention and detection

What if you could use just one platform to detect all types of major financial crimes?
One platform to handle the analytical tasks of fraud detection, including:
Data processing and aggregation
Data visualization
Statistical/mathematical/machine learning modeling
Batch/real-time scoring
One platform that could successfully reduce complex and time-consuming fraud investigations by combining extremely different domains of knowledge including Business, Economics, Finance, and Law. A platform that can cover payments, credit card transactions, and know your customer (KYC) processes, as well as similar use cases like anti-money laundering (AML), trade surveillance, and crimes such as insurance claims fraud.
Learn more about TIBCO's comprehensive software capabilities behind tackling all these types of fraud in this in depth whitepaper.

The biggest headache for most payment operations teams is cost control — and a large part of it comes from fraud management:
Investigation teams waste large amounts of time just assembling the data needed to make decisions.
Detection engines are always playing catchup with the latest fraud patterns.
Ever changing regulations increase the time and cost required to reach compliance and meet audit standards.
Given their scope and impact, replacing core fraud systems is not an option for most firms. But instead of replacing them, you can improve the investigative process with augmented investigation, and improve the detection process by enhancing current systems.
This whitepaper describes three ways financial services firms can use TIBCO solutions to lower the cost of investigations through faster results, reduce fraud losses through better detection, and simplify audit and regulatory compliance through centralized access to information.

Fraud is one of the biggest overheads for most financial firms. Detecting crime is hard as fraud constantly evolves and the tools have to be able to evolve with it. Also one of the key areas of focus for most firms is to address the cost of handling the false positives that all automated systems generate.
Watch this short demonstration to learn how TIBCO’s advanced analytics and data science solutions can help you overcome these challenges.